中文摘要：

专利信息的复杂性决定了研究专利问题需要从多个关系层面共同进行观察。文章介绍了一种基于多重关系整合的专利网络分析方法,即充分利用各种层间关系构建立体的、多维度的多重关系网络,并在该网络框架下进行凝聚子群划分、核心专利的识别等专利分析。通过构建基于多重关系整合的专利网络,能够促进整个专利数据分析的全面性与准确性,构建多模网络分析指标可以更好地捕捉到个体在组织中的重要性,且能比单一层次内的分析获得更多信息。所得结论可为相关领域的战略选择提供理论依据和实践指导。

英文摘要：

The complexity of patent information determines that the related research of patent should be observed from multiple relations.This paper introduces a patent network analysis method based on multi-relation integration,which makes full use of all kinds of relations to build a three-dimensional and multi-dimensional multi-relation network.The analysis works such as subgroup identification and core patent identification can be done under the network framework.By building the patent network based on multirelation integration,the paper can improve the comprehensiveness and accuracy of patent data analysis.The construction of multimode network analysis index can better capture the importance of individual in the organization,and obtain more information than the analysis of single level.The results of the research can provide theoretical basis and practice guidance for the strategic choice of the related fields.